Urgent! Senior Analytics Engineer Job Opening In India, India – Now Hiring Confidential
Roles & Responsibilities
As a Senior Analytics Engineer, you will lead efforts to develops calable data solutions that enhance feature-level insights, user engagement measurement, and decision-making for the Product Analytics team.
You will build and optimize data pipelines, semantic layers, and dashboard sto deliver actionable insights on howusers interact with in-app features, content discovery, and engagement-driving elements.
Design and implement scalable data models that support flexible querying,
feature attribution, and
behavioral analytics for self-serve and advanced analytics.
Partner with Product Analytics stakeholders to understand business needs and develop robust analytical solutions, focusing on
in-app engagement, navigation, and personalization signals.
Strong understanding of SDKs and event stream data to craft
analytics instrumentation proposals for new features, ensuring robust data collection and alignment with business objectives.
Advance automation efforts, enabling the team to spend less time on manual data validation and more on insights generation.
Leverage machine learning & statistical modeling techniques to enhance feature performance tracking, user segmentation, and predictive analytics.
Develop frameworks that multiply the productivity of the team and are intuitive for other data teams to leverage.
Optimize data processing pipelines and ETL workflows, ensuring data accuracy and consistency across multiple sources.
Improve experimentation infrastructure by enabling better A/B test measurement, control-group analysis, and impact assessments.
Set goals and targets for Core Product OKRsby leveraging advanced
data science methodologies, machine learning models, and statistical forecasting techniques to drive product engagement and retention strategies.
Create systematic solutions for solving data anomalies, including anomaly detection, root cause analysis, and proactive alerting.
Work with cross-functional teams, including data science, personalization, and content teams, to drive
data governance, experimentation analytics, and dashboarding strategies.
Identify and explore new opportunities through creative analytical and engineering methods, ensuring robust and scalable solutions for evolving business needs.
Technical Skills
5+ years of experience in analytics engineering, data science, or data engineering, preferably in
streaming, digital products, or consumer analytics.
Advanced SQL skills with expertise in writing
clean, efficient queries for large-scale analytics.
Experience in designing scalable data models(e.g., feature attribution, user segmentation, behavioral cohorts).
Proficiency in Python for data manipulation, automation, and statistical modeling.
Experience with machine learning techniques, such as
clustering, regressions, decision trees, and classification models to enhance feature-level insights.
Experience with big-data technologies, such as
Spark, Hive, Kafka, Airflow, or Snowflake.
Advanced experience with BI tools, such as
Looker, Tableau, or Mode, for building interactive dashboards and self-serve analytics solutions.
Familiarity with A/B testing frameworks and experimentation methodologies for measuring product feature performance.
Experience working with event-based data and optimizing data pipelines for
behavioral tracking and feature usage analysis.
Strong understanding of statistical analysis, such as hypothesis testing, significance testing, and probability distributions.
Business & Product Analytics Skills
Deep understanding of streaming product analytics, including
content engagement, recommendation effectiveness, and user navigation trends.
Experience in feature attribution modeling, enabling accurate assessment of how product features drive engagement.
Knowledge of user segmentation frameworks, including habituality, content diversity, and personalization effectiveness.
Ability to define and track product success metrics, identifying trends in
feature adoption, engagement drivers, and content discovery pathways.
Soft Skills
Strong written and verbal communication skills, with the ability to translate complex findings into actionable insights.
Ability to manage multiple projects, working cross-functionally across data engineering, analytics, and product teams.
Strong organizational skills, capable of acting independently while managing competing priorities.
Proactive problem-solver, with a keen eye for detail and a passion for improving self-serve analytics.
✨ Smart • Intelligent • Private • Secure
Practice for Any Interview Q&A (AI Enabled)
Predict interview Q&A (AI Supported)
Mock interview trainer (AI Supported)
Ace behavioral interviews (AI Powered)
Record interview questions (Confidential)
Master your interviews
Track your answers (Confidential)
Schedule your applications (Confidential)
Create perfect cover letters (AI Supported)
Analyze your resume (NLP Supported)
ATS compatibility check (AI Supported)
Optimize your applications (AI Supported)
O*NET Supported
O*NET Supported
O*NET Supported
O*NET Supported
O*NET Supported
European Union Recommended
Institution Recommended
Institution Recommended
Researcher Recommended
IT Savvy Recommended
Trades Recommended
O*NET Supported
Artist Recommended
Researchers Recommended
Create your account
Access your account
Create your professional profile
Preview your profile
Your saved opportunities
Reviews you've given
Companies you follow
Discover employers
O*NET Supported
Common questions answered
Help for job seekers
How matching works
Customized job suggestions
Fast application process
Manage alert settings
Understanding alerts
How we match resumes
Professional branding guide
Increase your visibility
Get verified status
Learn about our AI
How ATS ranks you
AI-powered matching
Join thousands of professionals who've advanced their careers with our platform
Unlock Your Senior Analytics Potential: Insight & Career Growth Guide
Real-time Senior Analytics Jobs Trends in India, India (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for Senior Analytics in India, India using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 409865 jobs in India and 27246 jobs in India. This comprehensive analysis highlights market share and opportunities for professionals in Senior Analytics roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! Confidential is currently hiring and seeking a Senior Analytics Engineer to join their team. Feel free to download the job details.
Wait no longer! Are you also interested in exploring similar jobs? Search now: Senior Analytics Engineer Jobs India.
An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Confidential adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a Senior Analytics Engineer Jobs India varies, but the pay scale is rated "Standard" in India. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
Key qualifications for Senior Analytics Engineer typically include Mathematical Science Occupations and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
To improve your chances of getting hired for Senior Analytics Engineer, consider enhancing your skills. Check your CV/Résumé Score with our free Resume Scoring Tool. We have an in-built Resume Scoring tool that gives you the matching score for each job based on your CV/Résumé once it is uploaded. This can help you align your CV/Résumé according to the job requirements and enhance your skills if needed.
Here are some tips to help you prepare for and ace your job interview:
Before the Interview:To prepare for your Senior Analytics Engineer interview at Confidential, research the company, understand the job requirements, and practice common interview questions.
Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Confidential's products or services and be prepared to discuss how you can contribute to their success.
By following these tips, you can increase your chances of making a positive impression and landing the job!
Setting up job alerts for Senior Analytics Engineer is easy with India Jobs Expertini. Simply visit our job alerts page here, enter your preferred job title and location, and choose how often you want to receive notifications. You'll get the latest job openings sent directly to your email for FREE!
